ArticleEnvironmental microbiology2022
Time after time: detecting annual patterns in stream bacterial biofilm communities.
Article in Environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- River Microbiomes as Sentinels of National-Scale Freshwater Ecosystems.Global change biology · 2026Article
- Seasons and vertical dynamics influence community composition in a flooded and abandoned mica mine.FEMS microbiology ecology · 2026Article
- National-scale biogeography and function of river and stream bacterial biofilm communities.Nature communications · 2025Article
- Biological activated carbon:Water science and technology : a journal of the International Association on Water Pollution Research · 2025Article
- Experimental evidence on the impact of climate-induced hydrological and thermal variations on glacier-fed stream biofilms.FEMS microbiology ecology · 2025Article
- Exploring freshwater stream bacterial communities as indicators of land use intensity.Environmental microbiome · 2024Article
- Toward a Predictive Understanding of Cyanobacterial Harmful Algal Blooms through AI Integration of Physical, Chemical, and Biological Data.ACS ES&T water · 2024Review
- Impact of Season on Intestinal Bacterial Communities and Pathogenic Diversity in Two Captive Duck Species.Animals : an open access journal from MDPI · 2023Article
- Temporal disturbance of a model stream ecosystem by high microbial diversity from treated wastewater.MicrobiologyOpen · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To quantify the major environmental drivers of stream bacterial population dynamics, we modelled temporal differences in stream bacterial communities to quantify community shifts, including those relating to cyclical seasonal variation and more sporadic bloom events. We applied Illumina MiSeq 16S rRNA bacterial gene sequencing of 892 stream biofilm samples, collected monthly for 36-months from six streams. The streams were located a maximum of 118 km apart and drained three different catchment types (forest, urban and rural land uses). We identified repeatable seasonal patterns among bacterial taxa, allowing their separation into three ecological groupings, those following linear, bloom/trough and repeated, seasonal trends. Various physicochemical parameters (light, water and air temperature, pH, dissolved oxygen, nutrients) were linked to temporal community changes. Our models indicate that bloom events and seasonal episodes modify biofilm bacterial populations, suggesting that distinct microbial taxa thrive during these events including non-cyanobacterial community members. These models could aid in determining how temporal environmental changes affect community assembly and guide the selection of appropriate statistical models to capture future community responses to environmental change.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.